Basic charts
Basic charts offer a way to visualize data sets in an intuitive, easy to understand way. Every chart should tell a story and should reflect the content on the page where it is found.
Bar chart
Default
Bar charts use vertical or horizontal data markers to compare individual values. You can use them to compare discrete data or show trends over time.
Grouped bar chart
A grouped bar chart, also known as a clustered bar graph, multi-set bar chart, or grouped column chart, is a type of bar graph that is used to compare values across multiple categories.
Stacked bar
Stacked bar charts are useful for comparing proportional contributions within a category. They plot the relative value that each data series contributes to the total.
Horizontal bar
The horizontal bar chart follows the same principles as a vertical column chart, only the x- and y-axis are switched.
Note: This chart is currently a concept and not included in the Carbon Charts repository yet. For more information, please go to the carbon-charts GitHub repository.
Line chart
Default
Line charts plot data at regular intervals connected by lines. You can use line visualizations to show trends over time and compare several data sets.
Stepped line chart
Stepped line charts plot data at regular intervals, forming a series of steps between data points. You can use line visualizations to show trends over time and compare several data sets.
Curved line chart
Area chart
Default
Area charts are similar to line charts, but the areas below the lines are filled with colors or patterns. Stacked charts are useful for comparing proportional contributions within a category. They plot the relative value that each data series contributes to the total.
Stacked area chart
Stacked area charts are useful for comparing proportional contributions within a category. They plot the relative value that each data series contributes to the total.
Note: This chart is currently a work-in-progress. To see our roadmap, request missing guidance, or contribute content, please go to the carbon-charts GitHub repository.
Polar charts
Pie
Donut
Scatter plots
Default
Scatter plot visualizations use data points to plot two measures anywhere along a scale, not only at regular tick marks. You can use scatter plots to explore correlations between different measures.
Bubble chart
Bubble charts use data points and bubbles to plot measures anywhere along a scale. One measure is plotted along each axis. The size of the bubble represents the third measure. You can use bubble charts to represent financial data or any data where measured values are related.
Meter and gauge
Note: Meter and gauge charts are not yet available in Carbon Charts. These explorations are subject to change.
Meter and gauge charts are useful for showing values between a small number of variables either by using multiple markers on the same meter or gauge or by using multiples of the chart.
Meter charts can represent data with current value, minimum and maximum, and peaks or averages.
Gauge animates to the current value when dashboard loads to create emphasis.